Lead, ESG Reporting

Role Purpose & Context

Role Summary

The Lead, ESG Reporting, is here to make sure our company's sustainability story is told accurately, consistently, and on time to the world. You'll be the one designing and running the programmes that gather all the messy ESG data from across the business, then turning it into clear, compliant reports for investors, regulators, and the public. This directly impacts our reputation, our access to capital, and our ability to attract and keep top talent. When you do this job well, our disclosures are seen as credible and transparent, giving investors confidence and helping us meet tough new regulations. If it's not done well, we risk accusations of greenwashing, hefty fines, and losing market trust—which, frankly, is a nightmare scenario. The tricky part is getting dozens of different teams, who frankly have other priorities, to give you the data you need, on time, and in the right format. The reward? You get to build something truly impactful, helping the company be more responsible and transparent, and you'll see your work published for the world to scrutinise.

Reporting Structure

• Reports to: Senior Manager, ESG Disclosure & Strategy
• Direct reports: Roughly 3-5 ESG Disclosure Analysts or Coordinators
• Matrix relationships: ESG Disclosure Manager, Staff ESG Analyst, Sustainability Reporting Lead, Senior ESG Program Manager,

Key Stakeholders

Internal:

• Head of Investor Relations
• Group Finance Director
• Legal & Company Secretary
• Heads of Operations & Supply Chain
• HR Director
• Internal Audit

External:

• External ESG Auditors (e.g., PwC, EY)
• ESG Rating Agencies (e.g., MSCI, Sustainalytics)
• Investors & Fund Managers
• Regulators (e.g., FCA, EFRAG)
• Industry Bodies (e.g., GRI, SASB)

Organisational Impact

Scope: This role is absolutely central to our company's public image and regulatory compliance in the sustainability space. You're essentially building the trust engine for our ESG narrative. Get it right, and we attract ethical investment, avoid regulatory headaches, and boost our brand. Get it wrong, and we face reputational damage, potential legal issues, and a significant hit to our market value. You'll directly influence how the market perceives our commitment to sustainability and our ability to deliver on those promises. You're also shaping how internal teams collect and manage data, driving better practices across the business.

Performance Metrics

Quantitative Metrics

1. Metric: Third-Party Assurance Findings
2. Desc: Number of major non-conformance findings from our external ESG auditors.
3. Target: Zero major non-conformance findings annually.
4. Freq: Annually, post-assurance report.
5. Example: After the 2024 assurance, we had one minor finding related to a data lineage document, which was immediately addressed, but no major issues. That's a win.
6. Metric: ESG Reporting Cycle Time
7. Desc: The total time from the 'data lock' date to the final publication of our annual ESG report.
8. Target: Reduce cycle time by 10% year-over-year, aiming for publication within 6 weeks of data lock.
9. Freq: Annually, post-publication.
10. Example: In 2023, it took us 8 weeks. In 2024, you'd aim to get that down to 7.2 weeks, ideally less, by streamlining processes.
11. Metric: Data Gap Closure Rate
12. Desc: Percentage of identified 'data gaps' (metrics we need but don't currently track well) that have a clear, documented collection process in place.
13. Target: 80% of identified data gaps closed within 12 months.
14. Freq: Quarterly review with the Senior Manager.
15. Example: If we identify 10 critical data gaps for CSRD, you'd need to have robust collection processes for 8 of them within a year. Think 'water usage by site' or 'employee training hours on human rights'.
16. Metric: Reporting Platform Optimisation
17. Desc: Percentage of key ESG reporting platform features (e.g., automation, custom dashboards, integration points) that are actively configured and used.
18. Target: Achieve 75% utilisation of core platform capabilities within 18 months of onboarding.
19. Freq: Bi-annual platform audit and review.
20. Example: If Workiva has 20 core features for data collection and reporting, we'd expect you to have 15 of them actively set up and working, not just sitting there unused.

Qualitative Metrics

1. Metric: Cross-Functional Data Owner Engagement
2. Desc: How well you build relationships and get buy-in from data owners across the business.
3. Evidence: Data owners (e.g., plant managers, HR leads) respond promptly to requests, proactively offer data, and see you as a helpful partner, not just someone asking for more work. They'll invite you to their team meetings to discuss data challenges, which is a great sign.
4. Metric: Regulatory Preparedness & Foresight
5. Desc: Your ability to anticipate and prepare for new ESG reporting regulations.
6. Evidence: You're presenting clear action plans for upcoming regulations (like new ISSB guidance) well in advance of deadlines. You've already identified potential data impacts and started conversations with relevant teams before it becomes an 'urgent' problem. Your team isn't caught off guard by regulatory changes.
7. Metric: Team Development & Mentorship
8. Desc: The growth and capability of your direct reports and junior team members.
9. Evidence: Your team members are taking on more complex tasks, showing increased autonomy, and successfully managing their own reporting workstreams. They're asking fewer basic questions and more strategic ones. You'll see them leading small internal projects confidently.
10. Metric: Process Documentation Quality
11. Desc: The clarity, completeness, and accessibility of our ESG data collection and reporting process documentation.
12. Evidence: A new joiner or an external auditor can pick up your process documents and understand exactly how a metric is calculated, where the data comes from, and who is responsible, without needing constant clarification from you. It's all there, in plain English.

Primary Traits

• Trait: Meticulous Verifier
• Manifestation: You're the person who triple-checks every number before it goes into a public report. You'll spot the tiny inconsistency between the narrative claim and the data table that everyone else missed. You maintain a detailed audit trail for every critical metric, knowing that an auditor will eventually ask for it. Honestly, you probably read your own emails twice before sending, just in case.
• Benefit: A single incorrect data point in a public disclosure isn't just a typo; it can lead to accusations of greenwashing, seriously damage investor confidence, and trigger regulatory scrutiny. This role is the absolute last line of defence against error. Your work is literally under a microscope, and precision is paramount to protect our company's reputation and avoid legal headaches.
• Trait: Process Architect
• Manifestation: You don't just follow checklists; you build them. You're always thinking about how to make a recurring task more efficient, more repeatable, and less prone to human error. You'll design robust workflows for reporting cycles, create standardised templates for data collection, and document every single step so it can be replicated and audited without you being there. You love bringing order to chaos.
• Benefit: ESG reporting isn't a one-off project; it's a recurring, high-stakes annual (and sometimes quarterly) process. Without a reliable, well-documented process, we'd be reinventing the wheel every time, missing deadlines, and producing inconsistent reports. Your ability to build and refine these systems is essential to deliver accurate reports on time, every single year, even if people move teams or leave the company. It's about building institutional knowledge, not just individual heroics.
• Trait: Diplomatic Persuader
• Manifestation: You're the one who can follow up with a ridiculously busy plant manager for the fifth time about their energy data, but you do it with empathy, offering to help them find the information rather than just demanding it. You can explain *why* that seemingly trivial data point is crucial for a major investor report in a way that builds buy-in, not resentment. You're a master of getting people to help you, even when they don't report to you.
• Benefit: Here's the truth: you'll have no direct authority over 95% of the people you need data from. They're in different departments, often with their own demanding targets. Your success in this role depends entirely on your ability to influence, persuade, and build strong relationships with colleagues across functions, convincing them to prioritise your requests. Without this, you'll constantly be chasing data, missing deadlines, and getting frustrated.

Supporting Traits

• Trait: Inquisitive
• Desc: You're the kind of person who asks 'why does this number look strange?' instead of just inputting it. You dig into the 'how' and 'where' of data, always looking for the root cause of an anomaly. This curiosity helps us catch errors early.
• Trait: Calm Under Pressure
• Desc: You don't panic when a regulator announces a critical new requirement two months before your annual reporting deadline. You can calmly assess the situation, adjust plans, and lead your team through the scramble without losing your head. Deadlines are tight, and things often change last minute.
• Trait: Pragmatic
• Desc: You understand the difference between 'perfect' data (which almost never exists) and 'good enough' data that meets a specific disclosure requirement and can be assured. You know when to push for more detail and when to make a reasonable, documented assumption to keep things moving.
• Trait: Systematic Thinker
• Desc: You genuinely enjoy bringing order to chaos, especially when it comes to messy, disparate datasets from various sources. You see the bigger picture of how different data points connect and can build systems to manage them effectively.

Primary Motivators

1. Motivator: Building Robust Systems
2. Daily: You'll spend a good chunk of your time designing new data collection templates, refining workflows in Workiva, and documenting procedures. You get a real kick out of seeing a process you built run smoothly and efficiently.
3. Motivator: Ensuring Accuracy & Credibility
4. Daily: You're driven by the desire to ensure every piece of information we publish is beyond reproach. This means meticulous review, cross-referencing, and a constant focus on audit readiness. You're the guardian of our ESG reputation.
5. Motivator: Navigating Complexity
6. Daily: You thrive on dissecting dense regulatory texts (like CSRD or ISSB) and translating them into clear, actionable data requirements and project plans for your team and the wider business. You enjoy the intellectual challenge of figuring out how to comply.

Potential Demotivators

Honestly, this role isn't for everyone. You'll spend a fair bit of your time doing what feels like 'data herding'—chasing down numbers from people who don't always prioritise your requests. You'll rerun the same analysis three times because stakeholders keep changing the question or suddenly 'find' new data. The 'urgent' request that disrupted your Thursday will quite possibly get deprioritised on Friday by someone else. You'll build beautiful data models and processes that sometimes don't get fully adopted because of internal politics or shifting priorities.

Common Frustrations

1. Spending 60% of your time chasing down data from 50 different people across the globe who see your request as a low-priority administrative burden.
2. Being held accountable for the accuracy of your final report, even when you're forced to use incomplete, estimated, or poorly documented data from other departments.
3. A major framework (like ISSB or ESRS) releasing a critical update or 'final' guidance three months before your reporting deadline, forcing a major scramble to adapt.
4. Constantly having to explain complex ESG concepts (like market-based vs. location-based emissions) to senior executives who just want a simple 'good' or 'bad' number.
5. The period from January to April feeling like a relentless, high-pressure assembly line of data validation, narrative writing, and review cycles with zero room for strategic work.
6. Navigating the tension between the optimistic stories the Communications team wants to tell and the often less-flattering reality of the quantitative data you've collected.

What Role Doesn't Offer

1. A quiet, predictable 9-to-5 job with no surprises.
2. Direct control over all the data sources you rely on.
3. A role where every single piece of your work makes it to production or is immediately adopted.
4. A purely strategic role without significant hands-on data management and process work.

ADHD Positives

1. The constant need to switch between different data sources, regulatory documents, and stakeholder conversations can keep things fresh and engaging, preventing boredom.
2. The pressure of reporting deadlines can provide a strong external motivator for focus and task completion.
3. The systematic nature of building reporting processes can be highly satisfying for those who enjoy creating order and structure.

ADHD Challenges and Accommodations

1. Maintaining meticulous attention to detail across vast datasets can be challenging; using automated validation tools and structured checklists will be key.
2. Managing multiple data requests and follow-ups requires strong organisational systems, which we can help you set up.
3. We can offer flexible work arrangements to help manage energy levels and focus, and provide tools for task management and reminders.

Dyslexia Positives

1. The role's emphasis on data analysis, pattern recognition, and system design can be a strong suit.
2. Strong verbal communication skills, often found in dyslexic individuals, are highly valuable for stakeholder engagement and explaining complex concepts.

Dyslexia Challenges and Accommodations

1. Reading and interpreting dense regulatory text or detailed reports might require extra time or assistive technologies like text-to-speech software, which we're happy to provide.
2. Proofreading narrative sections or detailed data tables will be critical; we encourage using grammar and spell-checking tools, and peer review for final outputs.
3. We can offer tools like ClaroRead or Grammarly Business, and ensure documents are available in accessible formats.

Autism Positives

1. The systematic, logical nature of designing and optimising reporting processes can be very appealing.
2. A strong focus on accuracy, data integrity, and adherence to established frameworks (like GRI or GHG Protocol) aligns well with attention to detail.
3. The ability to dive deep into complex regulations and technical details is a significant asset.

Autism Challenges and Accommodations

1. Navigating complex social dynamics for data collection and stakeholder management might be draining; we can support with clear communication guidelines and structured interaction methods.
2. Unexpected changes in reporting requirements or urgent requests can be disruptive; clear communication about priorities and changes will be provided.
3. We offer a predictable work environment where possible, clear expectations, and a quiet workspace if preferred. We're also happy to discuss specific communication preferences.

Key Responsibilities

Experience Levels Responsibilities

1. Level: Lead, ESG Reporting (8-12 years)
2. Responsibilities: Architect our ESG reporting processes from end-to-end, making sure they're robust enough for external assurance and compliant with standards like CSRD, ISSB, and GRI. This means you'll be designing the data flows, setting up collection templates, and defining the review cycles.
3. Lead the implementation and optimisation of our ESG reporting platforms (like Workiva or OneTrust), configuring them to automate data collection, build custom dashboards, and manage user permissions across the business. You're the go-to expert for how we use these tools.
4. Accountable for the timely and accurate delivery of our annual ESG report, CDP disclosures, and any other public sustainability statements. When it's published, the buck stops with you for the data's integrity.
5. Build and lead a small team of 3-5 ESG Disclosure Analysts and Coordinators, providing day-to-day guidance, setting priorities, and helping them develop their skills. You'll be doing regular 1:1s, performance reviews, and generally making sure they're supported.
6. Define the strategy for data governance around ESG metrics, ensuring data lineage is clear, quality checks are in place, and all evidence is auditable. This involves working closely with Internal Audit and our Data team.
7. Influence senior stakeholders across Finance, Legal, Operations, and HR to secure the data and resources needed for reporting. You'll need to explain the 'why' behind complex requests and get their buy-in, especially when new regulations hit.
8. Act as the primary point of contact for external ESG auditors, managing the assurance process, coordinating data requests, and responding to their queries. You'll be the one presenting our data and processes to them.
9. Supervision: You'll report into the Senior Manager, ESG Disclosure & Strategy, with monthly strategic alignment meetings. For day-to-day execution, you're largely autonomous. We trust you to get on with it, but you'll consult on significant resource allocation or major strategic shifts.
10. Decision: You have full authority to make technical decisions within your domain, such as selecting methodologies for GHG accounting or configuring reporting platform features. You can approve project expenditures up to £50K without further sign-off and have hiring authority for your direct reports. Any budget decisions above £50K or major changes to the overall ESG strategy will need consultation with your Senior Manager.
11. Success: Your success here means our ESG reports are published on time, with zero major audit findings, and are consistently praised for their clarity and accuracy. Your team is growing in capability and confidence, and our internal data owners see you as a trusted partner. You've successfully implemented new reporting processes for emerging regulations, making the whole thing smoother.

Decision-Making Authority

• Type: ESG Reporting Framework Selection
• Entry: Follows chosen framework guidance.
• Mid: Proposes minor adjustments to framework application.
• Senior: Recommends and justifies adoption of new frameworks (e.g., ISSB, ESRS) to leadership, considering business impact and resource implications.
• Type: Data Collection Methodology
• Entry: Executes data collection using established templates and processes.
• Mid: Identifies inefficiencies in current data collection and proposes improvements.
• Senior: Designs and implements new data collection methodologies and systems, including automation, ensuring data quality and auditability.
• Type: ESG Reporting Platform Configuration
• Entry: Enters data and runs pre-built reports.
• Mid: Configures existing templates and dashboards within the platform.
• Senior: Leads the configuration, customisation, and optimisation of the ESG reporting platform, including integration points and user access management.
• Type: External Auditor Engagement
• Entry: Assists in gathering requested documentation.
• Mid: Responds to specific auditor queries with guidance from senior staff.
• Senior: Manages the entire external assurance process, acting as the primary point of contact and presenting data and processes to auditors.
• Type: Team Resource Allocation
• Entry: Manages own task list.
• Mid: Prioritises own tasks within project scope.
• Senior: Allocates tasks and manages workload for a team of 3-5 direct reports, ensuring project deadlines are met and resources are optimised.

Competency Requirements

Foundation Skills (Transferable)

Beyond the technical stuff, there are some core skills that are just essential for getting things done here. These are the human skills that make the difference between just doing the job and truly excelling.

• Category: Communication & Influence
• Skills: Executive Presentation: You'll need to clearly and concisely explain complex ESG data and regulatory impacts to senior leadership, often in a board-level context. This means distilling information, anticipating tough questions, and holding your own.
• Cross-Functional Negotiation: Getting data from various departments means you'll need to persuade, negotiate, and build consensus, especially when your requests aren't their top priority. It's about getting people on your side.
• Technical Translation: The ability to translate dense regulatory text or complex GHG accounting methodologies into plain English for non-experts is crucial. You're often the bridge between the technical and the business.
• Category: Problem-Solving & Strategic Thinking
• Skills: System Design: You'll be designing entire data collection and reporting systems, so you need to think systematically about inputs, processes, outputs, and controls. It's like building a complex machine.
• Regulatory Interpretation: Dissecting new, often ambiguous, regulatory guidance (like ESRS) and figuring out exactly what it means for our company's data collection and reporting is a core challenge.
• Root Cause Analysis: When a data point looks wrong, you need to be able to dig deep, find the actual source of the error, and fix the underlying process, not just the symptom.
• Category: Leadership & Development
• Skills: Team Mentorship: You'll be guiding and developing your direct reports, helping them grow their technical and soft skills. This involves regular feedback, coaching, and delegating challenging tasks.
• Project & Programme Management: You're not just managing a single project; you're overseeing multiple reporting cycles and strategic initiatives simultaneously, ensuring they stay on track and within scope.
• Change Management: Implementing new reporting processes or platforms often means changing how other teams work. You'll need to guide them through this change, addressing concerns and building adoption.
• Category: Attention to Detail & Accuracy
• Skills: Data Validation: You'll be the ultimate arbiter of data quality, meticulously checking figures, cross-referencing sources, and ensuring everything is consistent and auditable. One misplaced decimal can be a big problem.
• Process Adherence: While you design processes, you also need to ensure they're followed rigorously by your team and others. This means creating clear guidelines and monitoring compliance.
• Audit Readiness: Every piece of data and every process needs to be ready to withstand intense scrutiny from external auditors. You'll need an 'auditor's eye' for documentation and evidence.

Functional Skills (Role-Specific Technical)

These are the specific methodologies, tools, and industry knowledge that you'll need to apply day-to-day. This isn't just theory; it's about practical application to get our reporting done.

Technical Competencies

• Skill: ESG Reporting Frameworks (GRI, SASB, TCFD, ISSB, CSRD/ESRS)
• Desc: You need deep, practical knowledge of applying these global standards. This isn't just knowing what they are, but how to map our company's operations and data to their specific requirements, especially the new complexities of ISSB and CSRD/ESRS.
• Level: Expert
• Skill: Double Materiality Assessment
• Desc: You'll lead the process of conducting double materiality assessments, identifying and prioritising ESG topics based on both financial impact and impact on people/planet. This means engaging a wide range of stakeholders and documenting the whole process for auditors.
• Level: Advanced
• Skill: GHG Accounting & Climate Data (GHG Protocol)
• Desc: Mastery of the GHG Protocol Corporate Standard is non-negotiable. You'll be overseeing the calculation of Scope 1, 2, and especially the incredibly complex Scope 3 emissions. You'll also need familiarity with climate scenario analysis to inform disclosures.
• Level: Advanced
• Skill: Data Governance & Assurance Readiness (ISAE 3000, AA1000AS)
• Desc: You're responsible for designing and implementing processes to ensure all ESG data is accurate, consistent, and traceable from its source to the final report. This includes preparing all data and process documentation for third-party assurance, often against standards like ISAE 3000 or AA1000AS.
• Level: Advanced
• Skill: Regulatory Analysis & Implementation
• Desc: The ability to dissect dense regulatory text (e.g., from the SEC, EFRAG) and translate it into concrete, actionable data requirements and project plans for the business. You'll need to figure out what needs to change and how to make it happen.
• Level: Advanced
• Skill: Supply Chain Due Diligence Data
• Desc: Understanding and implementing processes to gather data from suppliers related to human rights, environmental impact, and governance. This often ties into specific regulations like the German Supply Chain Act or the Uyghur Forced Labor Prevention Act (UFLPA).
• Level: Intermediate

Digital Tools

• Tool: Workiva Wdesk (or similar ESG Reporting Platform)
• Level: Advanced
• Usage: You'll configure data collection templates, build new reports and dashboards, manage user permissions, and troubleshoot integration errors. You're the platform's power user and architect.
• Tool: Microsoft Excel (Power Query, XLOOKUP, PivotTables, Macros)
• Level: Expert
• Usage: You'll build complex data models using Power Query, automate data collection where possible, and design data governance protocols. You're expected to be able to handle any data challenge Excel throws at you.
• Tool: Microsoft SharePoint Lists
• Level: Expert
• Usage: You'll design and manage data collection from SharePoint, ensuring version control and data integrity. You'll also automate data flows from SharePoint into other reporting tools.
• Tool: Power BI (or Tableau)
• Level: Advanced
• Usage: You'll connect various data sources, build new interactive dashboards to track key ESG performance indicators (e.g., GHG emissions by site, DEI metrics), and present these insights to leadership.
• Tool: MS Teams, Asana, Jira
• Level: Advanced
• Usage: You'll manage complex project plans for multiple reporting cycles (e.g., GRI, CSRD), set up automated workflows, and assign tasks to data owners across the business. You're a project management pro.
• Tool: Diligent Boards (or Nasdaq Boardvantage)
• Level: Basic
• Usage: You'll prepare and upload final, approved PDF reports and presentations into the platform for board meetings, ensuring everything is correctly formatted and accessible.
• Tool: ServiceNow GRC (or Archer)
• Level: Intermediate
• Usage: You'll work with the GRC team to map ESG risks and controls within the system, ensuring alignment between financial and non-financial risk management and pulling relevant compliance data for disclosures.

Industry Knowledge

• Area: ESG Rating Agency Methodologies
• Desc: Understanding how key ESG rating agencies (e.g., MSCI, Sustainalytics, S&P Global CSA) assess companies and what data points they prioritise. This helps us tailor our disclosures to improve our scores.
• Area: Sustainable Finance Disclosure Regulation (SFDR)
• Desc: Familiarity with SFDR, especially if we have financial products. You'll need to understand how our ESG data feeds into product classifications and reporting requirements for asset managers.
• Area: Climate Science & TCFD Scenarios
• Desc: A basic understanding of climate science and how to apply TCFD-aligned climate scenario analysis to assess physical and transition risks and opportunities for the business.

Regulatory Compliance Regulations

• Reg: Corporate Sustainability Reporting Directive (CSRD) & European Sustainability Reporting Standards (ESRS)
• Usage: You'll be leading our company's readiness and ongoing compliance with CSRD and ESRS, translating complex legal text into actionable data requirements and reporting processes. This is a massive undertaking.
• Reg: Task Force on Climate-related Financial Disclosures (TCFD)
• Usage: You'll ensure our climate-related disclosures align with TCFD recommendations, covering governance, strategy, risk management, metrics, and targets. This often feeds into annual reports and investor presentations.
• Reg: SEC Climate Disclosure Rules (US-focused, if applicable)
• Usage: If we operate in the US, you'll need to understand the SEC's proposed or final climate disclosure rules and how they might impact our reporting requirements, especially around Scope 1, 2, and 3 emissions.
• Reg: German Supply Chain Due Diligence Act (LkSG)
• Usage: If we have operations or a supply chain presence in Germany, you'll need to understand the data requirements for human rights and environmental due diligence, ensuring our disclosures reflect compliance.

Essential Prerequisites

• Proven experience (roughly 5+ years) managing end-to-end ESG reporting cycles for a large, complex organisation, not just collecting data points.
• Demonstrable expertise in at least two major ESG reporting frameworks (e.g., GRI and SASB), including successful report publication.
• Experience leading small project teams or mentoring junior colleagues, showing you can guide others.
• A strong track record of designing and improving data collection processes, ideally with experience in an ESG reporting platform.
• The ability to translate complex technical or regulatory information into clear, actionable plans for business teams.

Career Pathway Context

Think of these as the foundations you've already built. You've been in the trenches, you've seen a few reporting cycles through, and you know what it takes to get quality data out the door. Now, we're looking for you to step up and design the whole system, not just run parts of it. If you've spent your career solely on one small piece of the puzzle, this might be a stretch without broader experience.

Qualifications & Credentials

Emerging Foundation Skills

• Skill: AI-Powered Data Validation & Anomaly Detection
• Why: Manual data validation is incredibly time-consuming and prone to human error, especially with the sheer volume of ESG data. AI tools are getting incredibly good at spotting inconsistencies and outliers much faster and more reliably. Competitors are already using this to streamline their processes.
• Concepts: [{'concept_name': 'Machine learning models for outlier detection (e.g', 'description': 'Machine learning models for outlier detection (e.g., Isolation Forest, One-Class SVM)'}, {'concept_name': 'Natural Language Processing (NLP) for cross-refere', 'description': 'Natural Language Processing (NLP) for cross-referencing narrative claims with data tables'}, {'concept_name': 'Automated data quality checks and rule-based valid', 'description': 'Automated data quality checks and rule-based validation engines'}, {'concept_name': 'Explainable AI (XAI) for understanding why an anom', 'description': 'Explainable AI (XAI) for understanding why an anomaly was flagged'}, {'concept_name': 'Integration of AI tools with existing ESG reportin', 'description': 'Integration of AI tools with existing ESG reporting platforms'}]
• Prepare: This month: Experiment with free online AI tools (like ChatGPT or Claude) to validate small datasets or identify patterns in text.
• Next quarter: Take an online course on basic machine learning concepts, focusing on anomaly detection algorithms.
• Within 6 months: Identify one specific, recurring data validation task in our current process that could benefit from AI, and propose a pilot project.
• Within 12 months: Lead the implementation of an AI-assisted data validation workflow for a critical ESG metric, demonstrating clear time savings and accuracy improvements.
• QuickWin: Start using AI tools to cross-reference narrative sections of reports with corresponding data tables for inconsistencies. It's a quick way to catch errors before they become public.
• Skill: Advanced Prompt Engineering for Regulatory Analysis
• Why: New regulations like CSRD are incredibly dense and complex. Analysts who can effectively 'talk' to Large Language Models (LLMs) will be able to summarise, compare, and extract key requirements from these documents in minutes, not days. This is a massive productivity boost.
• Concepts: [{'concept_name': 'Structured prompting techniques (e.g., Chain-of-Th', 'description': 'Structured prompting techniques (e.g., Chain-of-Thought, Tree-of-Thought)'}, {'concept_name': 'Context window management and token limits for lar', 'description': 'Context window management and token limits for large documents'}, {'concept_name': 'Using LLMs for comparative analysis of different r', 'description': 'Using LLMs for comparative analysis of different regulatory texts'}, {'concept_name': 'Extracting specific data points and deadlines from', 'description': 'Extracting specific data points and deadlines from unstructured text'}, {'concept_name': "Validating LLM outputs for accuracy and 'hallucina", 'description': "Validating LLM outputs for accuracy and 'hallucinations'"}]
• Prepare: This week: Dedicate 30 minutes daily to experimenting with advanced prompting techniques in a public LLM (e.g., ChatGPT Plus, Claude Pro) on ESG-related questions.
• This month: Use an LLM to summarise a newly released regulatory update (e.g., from EFRAG) and compare its output to a human-written summary.
• Next quarter: Develop a 'prompt library' for common regulatory analysis tasks, sharing best practices with your team.
• Within 6 months: Integrate advanced prompt engineering into your workflow for at least one major regulatory analysis task, significantly reducing research time.
• QuickWin: Use an LLM to generate a first draft of a summary for a complex internal policy or a new industry report. It's a low-risk way to get started and see the potential.

Advancing Technical Skills

• Skill: ESG Reporting Platform API Integration & Customisation
• Why: To truly automate and streamline our ESG data flows, we can't rely solely on manual inputs or basic connectors. The ability to use APIs to pull data directly from source systems (ERP, HRIS) into our reporting platform, or to build custom modules, will become essential for efficiency and data integrity.
• Concepts: [{'concept_name': 'RESTful API principles and authentication methods', 'description': 'RESTful API principles and authentication methods'}, {'concept_name': 'JSON/XML data structures', 'description': 'JSON/XML data structures'}, {'concept_name': 'Scripting languages for API calls (e.g., Python, J', 'description': 'Scripting languages for API calls (e.g., Python, JavaScript)'}, {'concept_name': 'Data mapping and transformation for integration', 'description': 'Data mapping and transformation for integration'}, {'concept_name': 'Error handling and logging for automated data pipe', 'description': 'Error handling and logging for automated data pipelines'}]
• Prepare: This month: Research the API capabilities of our current ESG reporting platform (e.g., Workiva) and identify potential integration points.
• Next quarter: Take an online course on API fundamentals and basic scripting (e.g., Python for data integration).
• Within 6 months: Work with our IT team to scope out a pilot API integration project for a critical ESG data stream (e.g., HR data for DEI metrics).
• Within 12 months: Successfully implement and maintain at least one API-driven data integration for ESG reporting, reducing manual effort and improving data freshness.
• QuickWin: Explore Zapier or similar low-code/no-code tools to create simple automated workflows between our ESG platform and other internal tools, even without direct API coding.
• Skill: Advanced Data Visualisation & Storytelling
• Why: As ESG data becomes more complex and audiences more diverse (investors, employees, customers), simply presenting tables of numbers won't cut it. You'll need to tell compelling stories with data, making complex information accessible and actionable through advanced visualisation techniques. This isn't just about pretty charts; it's about clarity and impact.
• Concepts: [{'concept_name': 'Principles of effective data storytelling (narrati', 'description': 'Principles of effective data storytelling (narrative, visuals, data)'}, {'concept_name': 'Advanced Power BI/Tableau features (e.g., custom v', 'description': 'Advanced Power BI/Tableau features (e.g., custom visuals, DAX/LOD expressions)'}, {'concept_name': 'Interactive dashboard design for different stakeho', 'description': 'Interactive dashboard design for different stakeholder groups'}, {'concept_name': 'Infographic design principles for ESG reports', 'description': 'Infographic design principles for ESG reports'}, {'concept_name': 'Techniques for visualising complex concepts like d', 'description': 'Techniques for visualising complex concepts like double materiality or Scope 3 breakdowns'}]
• Prepare: This month: Review leading ESG reports for examples of excellent data visualisation and storytelling. What works? What doesn't?
• Next quarter: Take an advanced Power BI or Tableau course focusing on dashboard design and interactive visualisations.
• Within 6 months: Redesign one of our existing internal ESG dashboards to be more interactive, insightful, and user-friendly, gathering feedback from key stakeholders.
• Within 12 months: Lead the development of a new, visually compelling section of our annual ESG report, using advanced data visualisation to tell a key sustainability story.
• QuickWin: Start experimenting with different chart types in Power BI for existing data. Can you tell a clearer story about our emissions trends with a different visual? Probably.

Education Requirements

• Level: Minimum
• Req: A Bachelor's degree (or equivalent OFQUAL Level 6 qualification) in Sustainability, Environmental Science, Business, Finance, or a related field.
• Alts: We're pragmatic. If you've got extensive, proven experience (10+ years) in corporate reporting, data management, or sustainability, we'll absolutely consider that as equivalent to a degree. Show us what you've done.
• Level: Preferred
• Req: A Master's degree (or equivalent OFQUAL Level 7 qualification) in a relevant field, or an MBA with a focus on sustainability.
• Alts: Not essential, but it certainly helps show a deeper theoretical understanding and commitment to the field.

Experience Requirements

You'll need roughly 8-12 years of progressive experience in ESG reporting, corporate sustainability, or a closely related field like financial reporting with a strong ESG component. This isn't your first rodeo; you should have led several reporting cycles and managed significant projects. We're looking for someone who has designed processes, not just followed them, and ideally has some experience managing or mentoring a small team.

Preferred Certifications

• Cert: GRI Certified Sustainability Professional
• Prod: Global Reporting Initiative (GRI)
• Usage: Demonstrates a deep understanding of the most widely used global sustainability reporting standards, which is core to this role.
• Cert: SASB FSA Credential (Fundamentals of Sustainability Accounting)
• Prod: Value Reporting Foundation (now ISSB)
• Usage: Shows a strong grasp of financially material sustainability issues and how they're reported, which is crucial for investor-focused disclosures.
• Cert: GHG Protocol Corporate Standard Training
• Prod: World Resources Institute (WRI) / World Business Council for Sustainable Development (WBCSD)
• Usage: Essential for accurately calculating and reporting Scope 1, 2, and 3 greenhouse gas emissions, a critical component of climate disclosures.
• Cert: Certified ESG Analyst (CESGA)
• Prod: EFFAS (European Federation of Financial Analysts Societies)
• Usage: Provides a broader understanding of ESG integration in financial analysis, helping you understand the investor perspective on your disclosures.

Recommended Activities

• Regularly attending webinars and conferences on new ESG regulations (e.g., CSRD updates, ISSB developments) and best practices in reporting.
• Participating in industry working groups or forums focused on sustainability reporting challenges and solutions.
• Subscribing to key regulatory alerts and sustainability news outlets to stay informed on emerging trends.
• Taking advanced courses in data analytics, particularly around data governance, quality, and visualisation, to strengthen your technical toolkit.
• Mentoring junior professionals in the sustainability field, which helps solidify your own knowledge and leadership skills.

Career Progression Pathways

Entry Paths to This Role

• Path: Senior ESG Disclosure Analyst (L3)
• Time: 3-5 years
• Path: Financial Reporting Manager with ESG Focus
• Time: 4-6 years
• Path: Sustainability Consultant (Senior Level)
• Time: 3-5 years

Career Progression From This Role

• Pathway: Senior Manager, ESG Disclosure & Strategy (L5)
• Time: 3-5 years

Long Term Vision Potential Roles

• Title: Director, Sustainability Reporting (L6)
• Time: 5-8 years
• Title: VP, ESG / Chief Sustainability Officer (L7)
• Time: 10-15 years
• Title: Head of ESG Assurance (within Internal Audit)
• Time: 7-10 years

How Zavmo Delivers This Role's Development

DISCOVER Phase: Skills Gap Analysis

Zavmo maps your current competencies against all requirements in this job description through conversational assessment. We evaluate your foundation skills (communication, strategic thinking), functional skills (CRM expertise, negotiation), and readiness for career progression.

Output: Personalised skills gap heat map showing strengths and priorities, estimated time to competency, neurodiversity accommodations.

DISCUSS Phase: Personalised Learning Pathway

Based on your DISCOVER results, Zavmo creates a personalised learning plan prioritised by impact: foundation skills first, then functional skills. We adapt to your learning style, pace, and neurodiversity needs (ADHD, dyslexia, autism).

Output: Week-by-week schedule, each module linked to specific job responsibilities, checkpoints and milestones.

DELIVER Phase: Conversational Learning

Learn through conversation, not boring modules. Zavmo uses 10 conversation types (Socratic dialogue, role-play, coaching, case studies) to build competence. Practice difficult QBR presentations, negotiate tough renewals, and handle churn conversations in a safe AI environment before facing real clients.

Example: "For 'Stakeholder Mapping', Zavmo will guide you through analysing a complex enterprise account, identifying key decision-makers, and building an engagement strategy."

DEMONSTRATE Phase: Competency Assessment

Zavmo automatically builds your evidence portfolio as you learn. Every conversation, practice scenario, and application example is captured and mapped to NOS performance criteria. When ready, your portfolio supports OFQUAL qualification claims and demonstrates competence to employers.

Output: Competency matrix, evidence portfolio (downloadable), qualification readiness, career progression score.